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Emanuele is a postdoctoral fellow supported by the Swiss National Science Foundation Postdoc Mobility fellowship.

His research aims to bridge the gap between theoretical understanding and practical utility in modern AI architectures. In particular, he is...

Charles is a computer science PhD student, broadly interested in machine learning and computational neuroscience. Previously, he was a post-bacc researcher working on using deep reinforcement learning to imitate animal motor control in simulation.

Adam is a computer science PhD student interested in combining neuroscience with reinforcement learning for motor control and adaptive decision-making. His background is in deep reinforcement learning applied to various fields such as robotics and...

Ben is a PhD student in Biophysics interested in theoretical neuroscience and statistical physics.  His research to date focuses on how biological properties like sparse connectivity and noise affect learning in neural networks. Ben did his BS in physics...

Alex is a CS PhD interested in deep learning theory and neural network optimization. His main research interests are in scaling neural networks and various aspects surrounding efficiency. He holds a MSc degree from ETH Zurich.

Indranil Halder is a Research Associate at the Harvard John A. Paulson School of Engineering and Applied Sciences in the Machine Learning Foundations Group with Cengiz Pehlevan. Previously, Indranil was the Harvard Quantum Initiative Fellow at the Center...

Valerie is a Ph.D. student in Biophysics with research interests in theoretical and computational neuroscience. She is co-advised by Dr. Cengiz Pehlevan and Dr. Ziv Williams and supported by a graduate fellowship at the Kempner Institute. 

Prior to joining...